Kick extraction for reducing uncertainty in RoboCup logs

Tomoharu Nakashima; Satoshi Mifune; Jordan Henrio; Oliver Obst; Peter Wang; Mikhail Prokopenko

doi:10.1007/978-3-319-20618-9_61

Kick extraction for reducing uncertainty in RoboCup logs

Tomoharu Nakashima, Satoshi Mifune, Jordan Henrio, Oliver Obst, Peter Wang, Mikhail Prokopenko

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

3 Citations (Scopus)

Abstract

The effectiveness of using log information in RoboCup soccer simulation 2D league is shown in this paper. Although it is not possible to exactly know a strategy that a team is taking, that strategy is well represented by how the players in the team kick during games. Extracted kicks such as passes and dribbles form a kick distribution, which hopefully represent the team' strategy. In order to show the usefulness of the kick distribution, a series of computational experiments are conducted where the uncertainty in predicting the game results is reduced by grouping the games based on the kick distributions.

Original language	English
Title of host publication	Human Interface and the Management of Information: Information and Knowledge in Context: 17th International Conference, HCI International 2015 Los Angeles, CA, USA, August 2Ã¢€“7, 2015: Proceedings, Part II
Publisher	Springer
Pages	622-633
Number of pages	12
ISBN (Print)	9783319206172
DOIs	https://doi.org/10.1007/978-3-319-20618-9_61
Publication status	Published - 2015
Event	International Conference on Human-Computer Interaction - Duration: 14 Sept 2015 → …

Publication series

Name
ISSN (Print)	0302-9743

Conference

Conference	International Conference on Human-Computer Interaction
Period	14/09/15 → …

Keywords

RoboCup (conference)
artificial intelligence
computer simulation
human-computer interaction
soccer

Access to Document

10.1007/978-3-319-20618-9_61

Cite this

Nakashima, T., Mifune, S., Henrio, J., Obst, O., Wang, P., & Prokopenko, M. (2015). Kick extraction for reducing uncertainty in RoboCup logs. In Human Interface and the Management of Information: Information and Knowledge in Context: 17th International Conference, HCI International 2015 Los Angeles, CA, USA, August 2Ã¢€“7, 2015: Proceedings, Part II (pp. 622-633). Springer. https://doi.org/10.1007/978-3-319-20618-9_61

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title = "Kick extraction for reducing uncertainty in RoboCup logs",

abstract = "The effectiveness of using log information in RoboCup soccer simulation 2D league is shown in this paper. Although it is not possible to exactly know a strategy that a team is taking, that strategy is well represented by how the players in the team kick during games. Extracted kicks such as passes and dribbles form a kick distribution, which hopefully represent the team' strategy. In order to show the usefulness of the kick distribution, a series of computational experiments are conducted where the uncertainty in predicting the game results is reduced by grouping the games based on the kick distributions.",

keywords = "RoboCup (conference), artificial intelligence, computer simulation, human-computer interaction, soccer",

author = "Tomoharu Nakashima and Satoshi Mifune and Jordan Henrio and Oliver Obst and Peter Wang and Mikhail Prokopenko",

year = "2015",

doi = "10.1007/978-3-319-20618-9_61",

language = "English",

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publisher = "Springer",

pages = "622--633",

booktitle = "Human Interface and the Management of Information: Information and Knowledge in Context: 17th International Conference, HCI International 2015 Los Angeles, CA, USA, August 2{\~A}¢€“7, 2015: Proceedings, Part II",

note = "International Conference on Human-Computer Interaction ; Conference date: 14-09-2015",

}

Nakashima, T, Mifune, S, Henrio, J, Obst, O, Wang, P & Prokopenko, M 2015, Kick extraction for reducing uncertainty in RoboCup logs. in Human Interface and the Management of Information: Information and Knowledge in Context: 17th International Conference, HCI International 2015 Los Angeles, CA, USA, August 2Ã¢€“7, 2015: Proceedings, Part II. Springer, pp. 622-633, International Conference on Human-Computer Interaction, 14/09/15. https://doi.org/10.1007/978-3-319-20618-9_61

Kick extraction for reducing uncertainty in RoboCup logs. / Nakashima, Tomoharu; Mifune, Satoshi; Henrio, Jordan et al.
Human Interface and the Management of Information: Information and Knowledge in Context: 17th International Conference, HCI International 2015 Los Angeles, CA, USA, August 2Ã¢€“7, 2015: Proceedings, Part II. Springer, 2015. p. 622-633.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Kick extraction for reducing uncertainty in RoboCup logs

AU - Nakashima, Tomoharu

AU - Mifune, Satoshi

AU - Henrio, Jordan

AU - Obst, Oliver

AU - Wang, Peter

AU - Prokopenko, Mikhail

PY - 2015

Y1 - 2015

N2 - The effectiveness of using log information in RoboCup soccer simulation 2D league is shown in this paper. Although it is not possible to exactly know a strategy that a team is taking, that strategy is well represented by how the players in the team kick during games. Extracted kicks such as passes and dribbles form a kick distribution, which hopefully represent the team' strategy. In order to show the usefulness of the kick distribution, a series of computational experiments are conducted where the uncertainty in predicting the game results is reduced by grouping the games based on the kick distributions.

AB - The effectiveness of using log information in RoboCup soccer simulation 2D league is shown in this paper. Although it is not possible to exactly know a strategy that a team is taking, that strategy is well represented by how the players in the team kick during games. Extracted kicks such as passes and dribbles form a kick distribution, which hopefully represent the team' strategy. In order to show the usefulness of the kick distribution, a series of computational experiments are conducted where the uncertainty in predicting the game results is reduced by grouping the games based on the kick distributions.

KW - RoboCup (conference)

KW - artificial intelligence

KW - computer simulation

KW - human-computer interaction

KW - soccer

UR - http://handle.uws.edu.au:8081/1959.7/uws:34802

UR - http://www.hci.international/index.php?module=conference&CF_op=view&CF_id=26

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M3 - Conference Paper

SN - 9783319206172

SP - 622

EP - 633

BT - Human Interface and the Management of Information: Information and Knowledge in Context: 17th International Conference, HCI International 2015 Los Angeles, CA, USA, August 2Ã¢€“7, 2015: Proceedings, Part II

PB - Springer

T2 - International Conference on Human-Computer Interaction

Y2 - 14 September 2015

ER -

Nakashima T, Mifune S, Henrio J, Obst O, Wang P, Prokopenko M. Kick extraction for reducing uncertainty in RoboCup logs. In Human Interface and the Management of Information: Information and Knowledge in Context: 17th International Conference, HCI International 2015 Los Angeles, CA, USA, August 2Ã¢€“7, 2015: Proceedings, Part II. Springer. 2015. p. 622-633 doi: 10.1007/978-3-319-20618-9_61

Kick extraction for reducing uncertainty in RoboCup logs

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